5 Best O’Reilly Books That You Must Read
List of 5 best O’Reilly Books. Check out the booklist.
1. Data Science for Business
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science and walks you through the “data-analytic thinking” necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.
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2. Head First Java: A Brain-Friendly Guide
Computer programming language Java is not easy to understand. It takes lot of time and practice to understand the complex programming language. But this book takes an interactive and fun approach for better understanding of different fundamentals of Java. The book offers multi-sensory and fun learning experience for new programmers, so they can easily pick up the new language.
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3. Learning Python
Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages.
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4. Common Stocks and Uncommon Profits and Other Writings
Widely respected and admired, Philip Fisher is among the most influential investors of all time. His invesment philosophies, introduced almost forty years ago, are not only studied and applied by today’s financiers and investors, but are also regarded by many as gospel. Common Stocks and Uncommon Profits is invaluable reading and has been since it was first published in 1958.
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5. Doing Data Science: Straight Talk from The Frontline
In many of these chapter-long lectures, data scientists from companies such as Google, Microsoftand eBay share new algorithms, methodsand models by presenting case studies and the code they use. If you’re familiar with linear algebra, probabilityand statisticsand have programming experience, this book is an ideal introduction to data science.
